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3. The method according to claim 1, wherein determining the set of cluster-based KPI values also comprises selecting only a portion of records of the additional input data being part of a cluster.
4. The method according to claim 1, wherein the metric value of the machine-learning model comprises a plurality of types of metric values, comprising indicators of type accuracy, fairness, and/or drift.
5. The method according to claim 4, wherein the determining the set of cluster-based KPI values, the calculating the metric value of the machine-learning model, and the determination of correlation matrix values is performed for each type of metric values.
6. The method according to claim 1, wherein the KPI value is a plurality of different KPI values and wherein the determining the set of cluster-based KPI values, the calculating the metric value of the machine-learning model, and the determination of the correlation matrix values is performed for each of the plurality of different KPI values.
7. The method according to claim 1, wherein the correlation function is a k-medoids correlation function, k-means, or fuzzy c-means.
12. The computer system of claim 10, wherein determining the set of cluster-based KPI values also comprises selecting only a portion of records of the additional input data being part of a cluster.
13. The computer system of claim 10, wherein the metric value of the machine-learning model comprises a plurality of types of metric values, comprising indicators of type accuracy, fairness, and/or drift.
14. The computer system of claim 13, wherein the determining the set of cluster-based KPI values, the calculating the metric value of the machine-learning model, and the determination of correlation matrix values is performed for each type of metric values.
15. The computer system of claim 10, wherein the KPI value is a plurality of different KPI values and wherein the determining the set of cluster-based KPI values, the calculating the metric value of the machine-learning model, and the determination of the correlation matrix values is performed for each of the plurality of different KPI values.
16. The computer system of claim 10, wherein the correlation function is a k-medoids correlation function, k-means, or fuzzy c-means.
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November 14, 2023
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